globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.12629
论文题名:
Improved allometric models to estimate the aboveground biomass of tropical trees
作者: Chave J.; Réjou-Méchain M.; Búrquez A.; Chidumayo E.; Colgan M.S.; Delitti W.B.C.; Duque A.; Eid T.; Fearnside P.M.; Goodman R.C.; Henry M.; Martínez-Yrízar A.; Mugasha W.A.; Muller-Landau H.C.; Mencuccini M.; Nelson B.W.; Ngomanda A.; Nogueira E.M.; Ortiz-Malavassi E.; Pélissier R.; Ploton P.; Ryan C.M.; Saldarriaga J.G.; Vieilledent G.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期:10
起始页码: 3177
结束页码: 3190
语种: 英语
英文关键词: Carbon ; Forest inventory ; Global carbon cycling ; Plant allometry ; Tree height ; Tropics
Scopus关键词: aboveground biomass ; allometry ; carbon cycle ; estimation method ; forest inventory ; height determination ; modeling ; tree ; vegetation type ; carbon ; biological model ; biomass ; chemistry ; environmental monitoring ; physiology ; procedures ; regression analysis ; relative density ; theoretical model ; tree ; tropic climate ; wood ; Biomass ; Carbon ; Environmental Monitoring ; Models, Biological ; Models, Theoretical ; Regression Analysis ; Specific Gravity ; Trees ; Tropical Climate ; Wood
英文摘要: Terrestrial carbon stock mapping is important for the successful implementation of climate change mitigation policies. Its accuracy depends on the availability of reliable allometric models to infer oven-dry aboveground biomass of trees from census data. The degree of uncertainty associated with previously published pantropical aboveground biomass allometries is large. We analyzed a global database of directly harvested trees at 58 sites, spanning a wide range of climatic conditions and vegetation types (4004 trees = 5 cm trunk diameter). When trunk diameter, total tree height, and wood specific gravity were included in the aboveground biomass model as covariates, a single model was found to hold across tropical vegetation types, with no detectable effect of region or environmental factors. The mean percent bias and variance of this model was only slightly higher than that of locally fitted models. Wood specific gravity was an important predictor of aboveground biomass, especially when including a much broader range of vegetation types than previous studies. The generic tree diameter-height relationship depended linearly on a bioclimatic stress variable E, which compounds indices of temperature variability, precipitation variability, and drought intensity. For cases in which total tree height is unavailable for aboveground biomass estimation, a pantropical model incorporating wood density, trunk diameter, and the variable E outperformed previously published models without height. However, to minimize bias, the development of locally derived diameter-height relationships is advised whenever possible. Both new allometric models should contribute to improve the accuracy of biomass assessment protocols in tropical vegetation types, and to advancing our understanding of architectural and evolutionary constraints on woody plant development. © 2014 John Wiley & Sons Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62257
Appears in Collections:影响、适应和脆弱性

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作者单位: UMR 5174 Laboratoire Evolution et Diversité Biologique, CNRS and Université Paul Sabatier, Toulouse, France; Departamento de Ecología de la Biodiversidad, Instituto de Ecología, Universidad Nacional Autónoma de México, Apartado Postal 1354, Hermosillo, Sonora C.P., Mexico; Makeni Savanna Research project, Box 50323, Lusaka, Zambia; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, United States; Universidade de São Paulo, Rua do Matão Travessa 14 n 321 Cidade Universitaria, Sao Paulo, Brazil; Departamento de Ciencias Forestales, Universidad Nacional de Colombia, Calle 59A No. 63-20, Medellín, Colombia; Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, Ås, Norway; Department of Environmental Dynamics, National Institute for Research in the Amazon - INPA, Av. André Araújo No. 2936, Manaus, AM, CEP, Brazil; School of Geography, University of Leeds, Leeds, United Kingdom; Forest Department, Food and Agriculture Organisation of the United Nations, Viale delle Terme di Caracalla, Rome, Italy; Smithsonian Tropical Research Institute, Balboa, Ancon, Panama; School of GeoSciences, University of Edinburgh, Crew Building, Edinburgh, United Kingdom; IRET, Libreville BP, Gabon; Instituto Tecnológico de Costa Rica, Cartago, Costa Rica; UMR AMAP, IRD, Montpellier, France; Carrera 5 No 14-05, Cota, Cundinamarca, Colombia; CIRAD, UPR BSEF, Montpellier, France

Recommended Citation:
Chave J.,Réjou-Méchain M.,Búrquez A.,et al. Improved allometric models to estimate the aboveground biomass of tropical trees[J]. Global Change Biology,2014-01-01,20(10)
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